# AsymptoticGreater

AsymptoticGreater[f,g,xx*]

gives conditions for or as xx*.

AsymptoticGreater[f,g,{x1,,xn}{,,}]

gives conditions for or as .

# Details and Options

• Asymptotic greater is also expressed as f is little-omega of g, f is of order greater than g, f grows faster than g, and f dominates g. The point x* is often assumed from context.
• Asymptotic greater is an order relation and means when x is near x* for all constants .
• Typical uses include expressing simple strict lower bounds for functions and sequences near some point. It is frequently used for solutions to equations and to give simple strict lower bounds for computational complexity.
• For a finite limit point x* and {,,}:
•  AsymptoticGreater[f[x],g[x],xx*] for all there exists such that implies AsymptoticGreater[f[x1,…,xn],g[x1,…,xn],{x1,…,xn}{,…,}] for all there exists such that implies
• For an infinite limit point:
•  AsymptoticGreater[f[x],g[x],x∞] for all there exists such that implies AsymptoticGreater[f[x1,…,xn],g[x1,…,xn],{x1,…,xn}{∞,…,∞}] for all there exists such that implies
• AsymptoticGreater[f[x],g[x],xx*] exists if and only if Limit[Abs[f[x]/g[x]],xx*] when g[x] does not have an infinite set of zeros near x*.
• The following options can be given:
•  Assumptions \$Assumptions assumptions on parameters Direction Reals direction to approach the limit point GenerateConditions Automatic generate conditions for parameters Method Automatic method to use PerformanceGoal "Quality" what to optimize
• Possible settings for Direction include:
•  Reals or "TwoSided" from both real directions "FromAbove" or -1 from above or larger values "FromBelow" or +1 from below or smaller values Complexes from all complex directions Exp[ θ] in the direction {dir1,…,dirn} use direction diri for variable xi independently
• DirectionExp[ θ] at x* indicates the direction tangent of a curve approaching the limit point x*.
• Possible settings for GenerateConditions include:
•  Automatic nongeneric conditions only True all conditions False no conditions None return unevaluated if conditions are needed
• Possible settings for PerformanceGoal include \$PerformanceGoal, "Quality" and "Speed". With the "Quality" setting, AsymptoticGreater typically solves more problems or produces simpler results, but it potentially uses more time and memory.

# Examples

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## Basic Examples(2)

Verify that as :

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 Out[1]=

Visualize the two functions:

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Verify that as :

 In[1]:=
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Visualize the two functions:

 In[2]:=
 Out[2]=